cashcrown // ai.ops

Deployment & MLOps

The road from pilot to production without surprises: versioning, golden-set quality gates, cost and latency monitoring. Every deploy passes an eval gate and a human sign-off.

// 0110 services

cashcrown@lab: ai.ops --list --allready

pilot → production — turning a demo into a stable deployment
LLMOps / MLOps from scratch — CI/CD, model registry, pipeline
prompt & model versioning — you know what runs and what changed
golden-set eval gates — a regression blocks the deploy, not the client
quality, cost & latency monitoring — alerts before quality drops
on-prem / self-host rollout — on your hardware, your data stays with you
canary / shadow rollout — a new version on a fraction of traffic
incident runbooks & response — what to do when the model fails
production cost optimization — routing, caching, a smaller model when it suffices
zero-downtime model migration — compared on the golden-set, then switched over

← back to the full catalogue Get a quote

cashcrown // ai.ops

Deployment & MLOps

The road from pilot to production without surprises: versioning, golden-set quality gates, cost and latency monitoring. Every deploy passes an eval gate and a human sign-off.

// 0110 services

cashcrown@lab: ai.ops --list --allready

pilot → production — turning a demo into a stable deployment
LLMOps / MLOps from scratch — CI/CD, model registry, pipeline
prompt & model versioning — you know what runs and what changed
golden-set eval gates — a regression blocks the deploy, not the client
quality, cost & latency monitoring — alerts before quality drops
on-prem / self-host rollout — on your hardware, your data stays with you
canary / shadow rollout — a new version on a fraction of traffic
incident runbooks & response — what to do when the model fails
production cost optimization — routing, caching, a smaller model when it suffices
zero-downtime model migration — compared on the golden-set, then switched over

← back to the full catalogue Get a quote